Komendantova Nadejda, Zobeidi Tahereh, Yazdanpanah Masoud
Advancing Systems Analysis Program, International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria.
Department of Agricultural Extension and Education, Agricultural Sciences and Natural Resources University of Khuzestan, Mollasani, Iran.
Sci Rep. 2025 May 31;15(1):19121. doi: 10.1038/s41598-025-03099-0.
Journalists, emergency responders, and the general public facing natural and anthropogenic disasters frequently disseminate emergency information via social media. The spread of fake news during disasters can, however, disrupt the crisis management process and increase victim numbers. Identifying false information can curb its spread and reduce its impact on people's attitudes and behaviors. Understanding how and why people in a disaster situation use fact-checking tools is crucial, as disaster-risk messages containing false content can usually be detected using systematic or heuristic processing. This study applies the heuristic-systematic model (HSM) to analyze social media users' intention to use fact-checking tools. The empirical study data derived from 202 questionnaires collected through an online survey of residents of countries of the European Union. The results of structural equation modeling show the credibility of using HSM to analyze the intention to use fact-checking tools. About 33% of the changes in people's intention to use fact-checking tools are predicted by this model. This study has implications for the use of theoretical models in communication science to predict intention to use fact-checking tools in disaster risk-reduction situations.
记者、应急响应人员以及面临自然和人为灾害的普通民众经常通过社交媒体传播紧急信息。然而，灾害期间假新闻的传播会扰乱危机管理过程并增加受害者数量。识别虚假信息可以遏制其传播并减少其对人们态度和行为的影响。了解灾难情况下人们如何以及为何使用事实核查工具至关重要，因为包含虚假内容的灾害风险信息通常可以通过系统或启发式处理来检测。本研究应用启发式系统模型（HSM）来分析社交媒体用户使用事实核查工具的意图。实证研究数据来自通过对欧盟国家居民进行在线调查收集的202份问卷。结构方程建模结果表明使用HSM分析使用事实核查工具意图的可信度。该模型预测了人们使用事实核查工具意图中约33%的变化。本研究对于在传播科学中使用理论模型来预测在减少灾害风险情况下使用事实核查工具的意图具有启示意义。
